PCA Index Dashboard Examples

PCA Index Dashboard Examples#

This script was last run at 2024-08-01 10:22:58.263142+00:00 (UTC)
In US/Central Time, this is 2024-08-01 05:22:58.263142-05:00
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

# Generating a random time series data
dates = pd.date_range(start="2021-01-01", end="2021-12-31", freq='D')
data = np.random.randn(len(dates)).cumsum()

# Creating the plot
plt.figure(figsize=(10, 6))
plt.plot(dates, data, label='Random Time Series', color='blue')
plt.title('Random Time Series Plot')
plt.xlabel('Date')
plt.ylabel('Value')
plt.legend()
plt.grid(True)
plt.xticks(rotation=45)
plt.tight_layout()

# Display the plot
plt.show()
print('We are just generating a random time serie here.')
../../_images/3aaa9c059a7d60aa2074dcef8ae92bf4d7d3ef4583fbc7bf77f11e56fb588b0c.png
We are just generating a random time serie here.
../../_images/ca5afca4f34e8c027e93311feb245671b6dc539feebc15573a04bbaaaece3dd3.png
../../_images/c217864138bd8d57d69d7b355f8173e967b2f3147ee6082822787256d553b13a.png